Citation

Senthilpari, Chinnaiyan and Ramanamurthy, Gajula and Ramesh, P. and Velrajkumar, P. and Kodandapani, D. (2019) Development of Smart Number Writing Robotic Arm using Stochastic Gradient Decent Algorithm. International Journal of Innovative Technology and Exploring Engineering, 8 (10). pp. 542-547. ISSN 2278-3075

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Abstract

Robotics and Neural Networks will play a major role in the future of manufacturing and automation process. Nowadays not many robotic systems are smart systems, in the sense that they operate on a predefined algorithm to do their task. This research focuses on a design and development of a robotic arm with a visual input. The robotic arm will perform its job with the help of visual aid. The system will analyze the input image upon which the decision to write a number using Stochastic Gradient Decent (SGD) algorithm. In a nutshell this research work shows how the neural network can be incorporated with robot arm control, which is a desired field of interest in development of smart robotic systems. This work presents where the robotic arm is incorporated together with a neural network to perform a task of writing numbers using vision.

Item Type:	Article
Uncontrolled Keywords:	Automation, Neural network, Robot arm, SGD, thermal vision
Subjects:	Q Science > QA Mathematics > QA71-90 Instruments and machines > QA75.5-76.95 Electronic computers. Computer science
Divisions:	Faculty of Engineering (FOE)
Depositing User:	Ms Suzilawati Abu Samah
Date Deposited:	24 Feb 2022 03:39
Last Modified:	24 Feb 2022 03:39
URII:	http://shdl.mmu.edu.my/id/eprint/9179

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